Filter News
Area of Research
- (-) Computational Engineering (2)
- (-) Electricity and Smart Grid (1)
- (-) Quantum information Science (1)
- Advanced Manufacturing (1)
- Biology and Environment (21)
- Clean Energy (74)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computer Science (7)
- Fusion and Fission (1)
- Fusion Energy (1)
- Materials (18)
- Materials for Computing (4)
- National Security (19)
- Neutron Science (10)
- Sensors and Controls (1)
- Supercomputing (39)
- Transportation Systems (2)
Media Contacts
![Biopsy from the tubular esophagus showing incomplete intestinal metaplasia, goblet cells with interposed cells having gastric foveolar-type mucin consistent with Barrett esophagus. Negative for dysplasia. H&E stain. Credit: Creative Commons](/sites/default/files/styles/list_page_thumbnail/public/2021-11/1200px-Barrett_esophagus_high_mag%5B1%5D_2.jpg?h=10d202d3&itok=qDgHrzu5)
A team including researchers from the Department of Energy’s Oak Ridge National Laboratory has developed a digital tool to better monitor a condition known as Barrett’s esophagus, which affects more than 3 million people in the United States.
![ORNL researchers are developing a method to print low-cost, high-fidelity, customizable sensors for monitoring power grid equipment. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-02/SAW%20sensors%202021-P01084_0.jpg?h=8f9cfe54&itok=H3Fe6A_G)
A method developed at Oak Ridge National Laboratory to print high-fidelity, passive sensors for energy applications can reduce the cost of monitoring critical power grid assets.
![Quantum—Widening the net](/sites/default/files/styles/list_page_thumbnail/public/2019-06/2018-P04780_0.jpg?h=c6980913&itok=IRxCZtUy)
Scientists at Oak Ridge National Laboratory studying quantum communications have discovered a more practical way to share secret messages among three parties, which could ultimately lead to better cybersecurity for the electric grid
![Computing—Routing out the bugs](/sites/default/files/styles/list_page_thumbnail/public/2019-11/VA-HealthIT-2019-P04263.jpg?h=784bd909&itok=uwv091uK)
A study led by Oak Ridge National Laboratory explored the interface between the Department of Veterans Affairs’ healthcare data system and the data itself to detect the likelihood of errors and designed an auto-surveillance tool